AI & Machine Generators

ML Algorithms with R in Business Analytics

(0 reviews)
Share icon
Coursera With GroupifyAI

The course page delves into the practical applications of machine learning algorithm paradigms, frameworks for interpreting results, and business data analysis.

Key AI Functions:

prediction,regression,R Programming,classification,clustering

Description for ML Algorithms with R in Business Analytics

  • Algorithm conceptual paradigm of machine learning
  • A conceptual framework for the interpretation of the results of machine learning
  • Experiment with the application of machine learning algorithms to business data.
  • Level: Intermediate

    Certification Degree: Yes

    Languages the Course is Available: 22

    Offered by: On Coursera provided by Illinois

    Duration: 14 hours (approximately)

    Schedule: Flexible

    Reviews for ML Algorithms with R in Business Analytics

    0 / 5

    from 0 reviews

    Ease of Use

    Ease of Customization

    Intuitive Interface

    Value for Money

    Support Team Responsiveness

    Alternative Tools for ML Algorithms with R in Business Analytics

    Use AI skills to advance your engineering career. Acquire practical knowledge regarding deep learning methodologies for computer vision.

    #Anomaly Detection #Artificial Intelligence (AI)
    Visit icon

    Learn to describe and implement various machine learning algorithms in Python, including classification and regression techniques, and evaluate their performance using appropriate metrics.

    #Machine Learning #regression
    Visit icon

    Learn to build and train supervised machine learning models for binary classification and prediction tasks using Python with NumPy and scikit-learn libraries.

    #Linear Regression #Regularization to Avoid Overfitting
    Visit icon

    Accelerate your career in data analytics. In this certificate program, you will acquire skills that are in high demand at your own tempo, regardless of your degree or experience.

    #Data Analysis #Creating case studies
    Visit icon

    Begin your professional journey as an AI engineer. Master the art of generating business insights from large datasets by employing deep learning and machine learning models.

    #Image Processing #Artificial Intelligence (AI)
    Visit icon

    Construct the gradient descent algorithm, execute univariate linear regression with NumPy and Python, and create data visualizations with matplotlib.

    #Data Science #Python Programming
    Visit icon

    Learn regression analysis, build prediction functions, and develop public data products.

    #Github #Machine Learning
    Visit icon

    Learn to construct and implement prediction functions, understand overfitting and error rates, and grasp machine learning techniques like classification trees and regression.

    #Random Forest #Machine Learning (ML) Algorithms
    Visit icon

    Gain expertise in Bayesian statistics, Bayesian inference, and R programming through comprehensive courses, active learning, and a culminating real-world data analysis project.

    #Statistics #Data Science
    Visit icon

    Gain expertise in leveraging machine learning for marketing transformation, applying unsupervised models like PCA and K-Means, understanding the theory behind k-means clustering and PCA, and determining the optimal number of clusters using the elbow method.

    #Artificial Intelligence (AI) #Python Programming
    Visit icon